Please use this identifier to cite or link to this item:
Title: Combining Offline and On-the-fly Disambiguation to Perform Semantic-aware XML Querying
Authors: Tekli, Joe
Tekli, Gilbert 
Chbeir, Richard
Affiliations: Department of Mechatronics Engineering 
Keywords: Keyword Search
Query Processing
Semantic Analysis
Semantic Disambiguation
Semi-structured data
Issue Date: 2023-01
Part of: Computer Science and Information Systems
Volume: 29
Issue: 1
Start page: 423
End page: 457
Many efforts have been deployed by the IR community to extend free-text query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. Yet, few of the existing approaches consider XML semantics, and the methods that process semantics generally rely on computationally expensive word sense disambiguation (WSD) techniques, or apply semantic analysis in one stage only: performing query relaxation/refinement over the bag of words retrieval model, to reduce processing time. In this paper, we describe a new approach for XML keyword search aiming to solve the limitations mentioned above. Our solution first transforms the XML document collection (offline) and the keyword query (on-the-fly) into meaningful semantic representations using context-based and global disambiguation methods, specially designed to allow almost linear computation efficiency. We use a semantic-aware inverted index to allow semantic-aware search, result selection, and result ranking functionality. The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. Experimental results highlight the quality and potential of our approach.
ISSN: 18200214
DOI: 10.2298/CSIS220228063T
Type: Journal Article
Appears in Collections:Department of Mechatronics Engineering

Show full item record

Record view(s)

checked on Feb 24, 2024

Google ScholarTM


Dimensions Altmetric

Dimensions Altmetric

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.